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π¦ bbbbchan/deltastreamer
DeltaStreamer: AI that watches video like a human
Watch live video and answer questions about it, even if the answer happened minutes ago. DeltaStreamer is an AI agent that watches a stream of video frames in real-time, just like you do. It doesn't just look at the current moment; it remembers what changed from the last frame, organizes that memory, and if a question pops up later, it can actually rewind and look back at the specific visual evidence it needs. This solves the problem of AI forgetting details from a moving video stream. It is the first framework to truly mimic how humans observe, remember, and investigate events over time.
π @hackernewsgithubprojects
DeltaStreamer: AI that watches video like a human
Watch live video and answer questions about it, even if the answer happened minutes ago. DeltaStreamer is an AI agent that watches a stream of video frames in real-time, just like you do. It doesn't just look at the current moment; it remembers what changed from the last frame, organizes that memory, and if a question pops up later, it can actually rewind and look back at the specific visual evidence it needs. This solves the problem of AI forgetting details from a moving video stream. It is the first framework to truly mimic how humans observe, remember, and investigate events over time.
π @hackernewsgithubprojects
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π¦ omkark97/webos-vibehack
webos-vibehack: Apple TV Style Home for LG
Your LG television now displays a home screen that looks and feels exactly like an Apple TV. The project known as webos-vibehack replaces the standard interface with a clean grid of app tiles and a bottom dock. It works by using LG's official developer mode to install a custom launcher that pulls your app list from your computer. The most surprising part is how it handles the home button. Since LG blocks apps from taking over that key, a small background script on your computer watches the screen and instantly redirects you back to the new interface in a tenth of a second.
π @hackernewsgithubprojects
webos-vibehack: Apple TV Style Home for LG
Your LG television now displays a home screen that looks and feels exactly like an Apple TV. The project known as webos-vibehack replaces the standard interface with a clean grid of app tiles and a bottom dock. It works by using LG's official developer mode to install a custom launcher that pulls your app list from your computer. The most surprising part is how it handles the home button. Since LG blocks apps from taking over that key, a small background script on your computer watches the screen and instantly redirects you back to the new interface in a tenth of a second.
π @hackernewsgithubprojects
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π¦ nineabyss/or-license
Can AI actually run a business?
Test an AI agent to see if it can do the work of an operations research practitioner without an expert reformulating the problem first. The project, called OR License, throws thirty-one real world business problems at artificial intelligence models and watches what happens. Usually, a human expert has to translate messy business details into clean math before a computer can solve them. Here, the AI gets a vague email from a simulated client. It has to ask questions, find the hidden rules, and write the optimization code itself. If it misses a constraint or guesses wrong, the system catches it immediately.
π @hackernewsgithubprojects
Can AI actually run a business?
Test an AI agent to see if it can do the work of an operations research practitioner without an expert reformulating the problem first. The project, called OR License, throws thirty-one real world business problems at artificial intelligence models and watches what happens. Usually, a human expert has to translate messy business details into clean math before a computer can solve them. Here, the AI gets a vague email from a simulated client. It has to ask questions, find the hidden rules, and write the optimization code itself. If it misses a constraint or guesses wrong, the system catches it immediately.
π @hackernewsgithubprojects
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π¦ streameval/streameval
StreamEval: The First Test for Live Video AI
StreamEval is the first benchmark ever built to test AI systems that generate live, interactive video in real time. Instead of judging a finished clip, it feeds instructions to a model one by one while it is already running, measuring how well the system adapts to new requests without losing track of the scene. This matters because most current video tools create static files, but the future of virtual avatars and live worlds depends on software that can think and update on the fly. By standardizing this difficult test, researchers finally have a fair way to compare who is actually building usable live video technology.
π @hackernewsgithubprojects
StreamEval: The First Test for Live Video AI
StreamEval is the first benchmark ever built to test AI systems that generate live, interactive video in real time. Instead of judging a finished clip, it feeds instructions to a model one by one while it is already running, measuring how well the system adapts to new requests without losing track of the scene. This matters because most current video tools create static files, but the future of virtual avatars and live worlds depends on software that can think and update on the fly. By standardizing this difficult test, researchers finally have a fair way to compare who is actually building usable live video technology.
π @hackernewsgithubprojects
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π¦ showlab/awesome-multimodal-embodied-agent
How AI Robots Learn to Think
This collection tracks how artificial intelligence moves from clicking buttons on your screen to physically moving objects in the real world. It organizes research on embodied agents, which are systems that combine seeing, planning, and acting to solve tasks in physical spaces. The project uses a framework called PAPAV to categorize how these agents perceive their environment, anticipate outcomes, plan moves, execute actions, and verify results. This matters because it shows the step-by-step progress of making machines that understand and interact with the world around them. If you want to know how software is becoming hardware, this is the map.
π @hackernewsgithubprojects
How AI Robots Learn to Think
This collection tracks how artificial intelligence moves from clicking buttons on your screen to physically moving objects in the real world. It organizes research on embodied agents, which are systems that combine seeing, planning, and acting to solve tasks in physical spaces. The project uses a framework called PAPAV to categorize how these agents perceive their environment, anticipate outcomes, plan moves, execute actions, and verify results. This matters because it shows the step-by-step progress of making machines that understand and interact with the world around them. If you want to know how software is becoming hardware, this is the map.
π @hackernewsgithubprojects
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π¦ thesecuredanalyst/security-suite
Security Suite: AI-Powered Security Analysis
Security Suite is the open-source security platform that finally connects your scattered scan results into a single, actionable story. It handles the heavy lifting of digging up domain details, hunting for web vulnerabilities, and testing your application interfaces. But the real magic happens when you let it think. Using local or cloud-based artificial intelligence, it reads your raw findings and writes you a clear, executive summary. No more staring at a wall of technical noise. You get a plain-English explanation of what actually matters and how to fix it. It is like hiring a senior analyst who does not charge a cent.
π @hackernewsgithubprojects
Security Suite: AI-Powered Security Analysis
Security Suite is the open-source security platform that finally connects your scattered scan results into a single, actionable story. It handles the heavy lifting of digging up domain details, hunting for web vulnerabilities, and testing your application interfaces. But the real magic happens when you let it think. Using local or cloud-based artificial intelligence, it reads your raw findings and writes you a clear, executive summary. No more staring at a wall of technical noise. You get a plain-English explanation of what actually matters and how to fix it. It is like hiring a senior analyst who does not charge a cent.
π @hackernewsgithubprojects
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π¦ unjs/jup
jup: The end of version mismatch headaches
Run the exact tool your project needs without manually installing it. This small program handles the right package manager or runtime for every job, checking that the download is safe before it runs. It saves the version on your computer so you can work offline, ensuring everyone uses the same setup. It keeps your normal commands working while removing the guesswork, making it a practical tool for developers who want consistent, verified environments without the usual complexity.
π @hackernewsgithubprojects
jup: The end of version mismatch headaches
Run the exact tool your project needs without manually installing it. This small program handles the right package manager or runtime for every job, checking that the download is safe before it runs. It saves the version on your computer so you can work offline, ensuring everyone uses the same setup. It keeps your normal commands working while removing the guesswork, making it a practical tool for developers who want consistent, verified environments without the usual complexity.
π @hackernewsgithubprojects
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π¦ planetis-m/skills
Skills: Teaching AI Nim Coding Rules
Give your AI assistant verified coding skills for the Nim programming language. The repository called Skills solves a specific problem: large language models often hallucinate or use outdated syntax, but this collection provides curated, empirically tested modules that guide the AI on exactly how to handle Nim specifics. Think of it as a cheat sheet for your bot, covering everything from memory management and API design to debugging and testing. It works by simply linking these skill folders into your agent directory, so the AI automatically applies the correct rules for tasks like C bindings or error handling.
π @hackernewsgithubprojects
Skills: Teaching AI Nim Coding Rules
Give your AI assistant verified coding skills for the Nim programming language. The repository called Skills solves a specific problem: large language models often hallucinate or use outdated syntax, but this collection provides curated, empirically tested modules that guide the AI on exactly how to handle Nim specifics. Think of it as a cheat sheet for your bot, covering everything from memory management and API design to debugging and testing. It works by simply linking these skill folders into your agent directory, so the AI automatically applies the correct rules for tasks like C bindings or error handling.
π @hackernewsgithubprojects
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π¦ thebcd69/bcd-games
Run PC Games on iPhone
BCD lets you play Windows PC games directly on your iPhone and iPad, with Steam and GOG support built right into the app. It uses Wine and FEX to run the code on Appleβs chips, translating it so it works smoothly without a computer. The coolest part is that it handles graphics by converting Windows Direct3D calls into Metal, the system graphics language for Apple devices. This means you can launch big titles like God of War or GTA V straight from your library, complete with controller support and touch controls.
π @hackernewsgithubprojects
Run PC Games on iPhone
BCD lets you play Windows PC games directly on your iPhone and iPad, with Steam and GOG support built right into the app. It uses Wine and FEX to run the code on Appleβs chips, translating it so it works smoothly without a computer. The coolest part is that it handles graphics by converting Windows Direct3D calls into Metal, the system graphics language for Apple devices. This means you can launch big titles like God of War or GTA V straight from your library, complete with controller support and touch controls.
π @hackernewsgithubprojects
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π¦ code-zm/plex2shell
Plex2Shell: The Critical Plex Vulnerability
Plex2Shell is the security research tool that exposes a critical, unauthenticated remote code execution flaw in older versions of Plex Media Server. It chains four distinct security bugs together, allowing anyone on the internet to take full control of a server without needing a user account or password. This is dangerous because it bypasses all standard access controls, turning a simple media player into a potential open door for attackers. The project serves as a stark warning for server administrators to check their patch levels immediately. If you run Plex, this is your cue to update right now, because leaving that door open is how you get hacked.
π @hackernewsgithubprojects
Plex2Shell: The Critical Plex Vulnerability
Plex2Shell is the security research tool that exposes a critical, unauthenticated remote code execution flaw in older versions of Plex Media Server. It chains four distinct security bugs together, allowing anyone on the internet to take full control of a server without needing a user account or password. This is dangerous because it bypasses all standard access controls, turning a simple media player into a potential open door for attackers. The project serves as a stark warning for server administrators to check their patch levels immediately. If you run Plex, this is your cue to update right now, because leaving that door open is how you get hacked.
π @hackernewsgithubprojects
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π¦ agnesai-labs/agnes-harness
Agnes Harness: The AI Agent That Remembers
Agnes Harness is the agent harness that turns every messy deployment into reusable muscle memory. When engineers build AI tools for specific customers, they usually start from scratch every time, losing all that hard-won context. This project fixes that by keeping a persistent memory of how tasks actually work. It acts like a reliable coworker who remembers exactly which buttons to press and which approvals to ask for. Instead of forgetting everything after the first job, it saves the method so your next project starts smarter. It is a developer preview, meaning it is raw but ready for builders.
π @hackernewsgithubprojects
Agnes Harness: The AI Agent That Remembers
Agnes Harness is the agent harness that turns every messy deployment into reusable muscle memory. When engineers build AI tools for specific customers, they usually start from scratch every time, losing all that hard-won context. This project fixes that by keeping a persistent memory of how tasks actually work. It acts like a reliable coworker who remembers exactly which buttons to press and which approvals to ask for. Instead of forgetting everything after the first job, it saves the method so your next project starts smarter. It is a developer preview, meaning it is raw but ready for builders.
π @hackernewsgithubprojects
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π¦ tek-sys-hub/rubix-lang
Rubix Lang: A Self-Hosting Assembly Language
Write code that compiles directly to raw machine instructions without any hidden layer or safety net. Rubix Lang is a systems language where every line of code maps to actual x86-64 assembly, giving you total control over how your program runs. The coolest part? The project includes a compiler written entirely in the language itself, proving it can build itself from scratch. Itβs a rare look at how software tools actually work under the hood. If youβve ever wanted to see exactly what your code does to the computer, this is your chance to peek under the hood.
π @hackernewsgithubprojects
Rubix Lang: A Self-Hosting Assembly Language
Write code that compiles directly to raw machine instructions without any hidden layer or safety net. Rubix Lang is a systems language where every line of code maps to actual x86-64 assembly, giving you total control over how your program runs. The coolest part? The project includes a compiler written entirely in the language itself, proving it can build itself from scratch. Itβs a rare look at how software tools actually work under the hood. If youβve ever wanted to see exactly what your code does to the computer, this is your chance to peek under the hood.
π @hackernewsgithubprojects
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π¦ generated-computers/locals
Locals: Run 16 AI Agents on Your Mac 3x Faster
Locals lets you run a whole team of AI coding agents on your own Mac, all at once, up to three times faster than the standard way. The killer feature? It batches requests from multiple agents on your graphics chip so eight agents finish in about the time two would take one after another. Everything stays on your computer, no cloud, no waiting for a server to wake up. It works with the coding assistants you already use, like Cline, Aider, and Claude Code, and it even guards against agents getting stuck in loops or running out of memory.
π° https://news.ycombinator.com/item?id=50185410
π @hackernewsgithubprojects
Locals: Run 16 AI Agents on Your Mac 3x Faster
Locals lets you run a whole team of AI coding agents on your own Mac, all at once, up to three times faster than the standard way. The killer feature? It batches requests from multiple agents on your graphics chip so eight agents finish in about the time two would take one after another. Everything stays on your computer, no cloud, no waiting for a server to wake up. It works with the coding assistants you already use, like Cline, Aider, and Claude Code, and it even guards against agents getting stuck in loops or running out of memory.
π° https://news.ycombinator.com/item?id=50185410
π @hackernewsgithubprojects
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π¦ opensoft/oh-my-opencode
Oh My OpenCode: Your AI Coding Team
Oh My OpenCode transforms a basic AI coding assistant into a coordinated team of specialized agents. Instead of just one model answering your questions, it spins up background workers that can search your code, check for errors, and even review their own changes before you see them. The standout feature is its ability to run these tasks in parallel, letting the AI tackle complex refactoring or bug fixes while you keep working on something else. It also includes pre-built tools for understanding code structure, so the AI isn't just guessing at text but actually analyzing your project's logic.
π @hackernewsgithubprojects
Oh My OpenCode: Your AI Coding Team
Oh My OpenCode transforms a basic AI coding assistant into a coordinated team of specialized agents. Instead of just one model answering your questions, it spins up background workers that can search your code, check for errors, and even review their own changes before you see them. The standout feature is its ability to run these tasks in parallel, letting the AI tackle complex refactoring or bug fixes while you keep working on something else. It also includes pre-built tools for understanding code structure, so the AI isn't just guessing at text but actually analyzing your project's logic.
π @hackernewsgithubprojects
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π¦ missuo/kumone
Kumone: Native Mac Music Player
Kumone is the native Mac music app that finally puts your favorite tracks on a real Apple window. It talks directly to NetEase servers without any middleman servers, so it feels fast and local. The coolest part? It automatically finds missing songs from other sources so you never hit a dead end in your playlist. If you are tired of web players, this is the clean, desktop experience you have been waiting for. Stop scrolling through tabs and start listening to music the way it was meant to be heard on your Mac.
π @hackernewsgithubprojects
Kumone: Native Mac Music Player
Kumone is the native Mac music app that finally puts your favorite tracks on a real Apple window. It talks directly to NetEase servers without any middleman servers, so it feels fast and local. The coolest part? It automatically finds missing songs from other sources so you never hit a dead end in your playlist. If you are tired of web players, this is the clean, desktop experience you have been waiting for. Stop scrolling through tabs and start listening to music the way it was meant to be heard on your Mac.
π @hackernewsgithubprojects
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π¦ zita-ch/supermimic_vibed
Supermimic Vibed: One Hour of Coding, One Robot Mastered
A single humanoid robot learned to perfectly dance, sprint, and fall without failing, trained on just one graphics card in under one and a half hours. Supermimic Vibed is a rapid reproduction of a new robot control method that uses a digital brain to predict how the robot moves before it actually does. This approach solved the slow training problem of previous systems, which took days on massive computer clusters to learn basic movements. By building this system in one hour with an AI assistant, the developer proved that advanced robot skills can be developed quickly and cheaply.
π @hackernewsgithubprojects
Supermimic Vibed: One Hour of Coding, One Robot Mastered
A single humanoid robot learned to perfectly dance, sprint, and fall without failing, trained on just one graphics card in under one and a half hours. Supermimic Vibed is a rapid reproduction of a new robot control method that uses a digital brain to predict how the robot moves before it actually does. This approach solved the slow training problem of previous systems, which took days on massive computer clusters to learn basic movements. By building this system in one hour with an AI assistant, the developer proved that advanced robot skills can be developed quickly and cheaply.
π @hackernewsgithubprojects
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π¦ kandowontu2/starfox-enhanced
Star Fox Enhanced: The AI Port
A Nintendo N64 classic, re-rendered at sixty frames per second with modern ray-traced lighting, is now running on your desktop, mobile phone, and VR headset. This project, Star Fox Enhanced, is a complete rewrite of the original game engine in modern C++, allowing it to run on almost any device you own. The real magic here is the AI assistance; the entire codebase was ported and enhanced by artificial intelligence, creating a bridge between retro emulation and next-gen graphics. You get the original gameplay, plus extra visual modes, high frame rates, and widescreen support, all without needing a console.
π @hackernewsgithubprojects
Star Fox Enhanced: The AI Port
A Nintendo N64 classic, re-rendered at sixty frames per second with modern ray-traced lighting, is now running on your desktop, mobile phone, and VR headset. This project, Star Fox Enhanced, is a complete rewrite of the original game engine in modern C++, allowing it to run on almost any device you own. The real magic here is the AI assistance; the entire codebase was ported and enhanced by artificial intelligence, creating a bridge between retro emulation and next-gen graphics. You get the original gameplay, plus extra visual modes, high frame rates, and widescreen support, all without needing a console.
π @hackernewsgithubprojects
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π¦ offline-protocol/offline-protocol-sdk
Offline Protocol SDK: Messaging Without Signal
Two phones in a room can message each other without any internet connection, Wi-Fi, or cellular signal. The Offline Protocol SDK handles the entire process, automatically switching between Bluetooth and Wi-Fi Direct to find the best path. It forms a self-organizing mesh, meaning your device quietly passes messages to nearby friends until the data reaches its destination, even if the final recipient is far away. All traffic is end-to-end encrypted by default, ensuring privacy remains intact even when the network is fully disconnected. This is a major shift for developers, allowing apps to stay functional in places where traditional networks fail.
π @hackernewsgithubprojects
Offline Protocol SDK: Messaging Without Signal
Two phones in a room can message each other without any internet connection, Wi-Fi, or cellular signal. The Offline Protocol SDK handles the entire process, automatically switching between Bluetooth and Wi-Fi Direct to find the best path. It forms a self-organizing mesh, meaning your device quietly passes messages to nearby friends until the data reaches its destination, even if the final recipient is far away. All traffic is end-to-end encrypted by default, ensuring privacy remains intact even when the network is fully disconnected. This is a major shift for developers, allowing apps to stay functional in places where traditional networks fail.
π @hackernewsgithubprojects
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π¦ petergyang/video-short
Video Short: The AI Editor for Vertical Videos
Take a raw, messy recording and turn it into a polished vertical short with B-roll, motion graphics, and music in minutes. Video Short is an AI agent skill that automates the entire editing workflow, from cutting out dead air to finding relevant footage online. The real magic happens in the review loop. Instead of describing changes in text, you get a visual interface where you can pin comments to specific frames. This lets you tell your AI agent exactly what to fix, watch the update render, and iterate until it feels right. It is a surprisingly effective way to bridge the gap between creative intent and technical execution.
π @hackernewsgithubprojects
Video Short: The AI Editor for Vertical Videos
Take a raw, messy recording and turn it into a polished vertical short with B-roll, motion graphics, and music in minutes. Video Short is an AI agent skill that automates the entire editing workflow, from cutting out dead air to finding relevant footage online. The real magic happens in the review loop. Instead of describing changes in text, you get a visual interface where you can pin comments to specific frames. This lets you tell your AI agent exactly what to fix, watch the update render, and iterate until it feels right. It is a surprisingly effective way to bridge the gap between creative intent and technical execution.
π @hackernewsgithubprojects
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π¦ assetnote/php2shell-scanner
php2shell-scanner: Finding PHP's Deepest Bug
A command-line tool called php2shell-scanner hunts for a specific PHP vulnerability by nesting array keys sixty-two levels deep. This depth is the exact trigger that crashes the server. It sends small, crafted requests to see if the application returns a specific fatal error or a blank error page. The tool distinguishes real crashes from normal server rejections to avoid false alarms. It lets you scan single hosts or large lists using multiple threads. It supports different PHP server modes and custom paths. If the server exhausts memory, it flags the host. The goal is high-fidelity detection without crashing the target. This helps teams patch before attackers do.
π @hackernewsgithubprojects
php2shell-scanner: Finding PHP's Deepest Bug
A command-line tool called php2shell-scanner hunts for a specific PHP vulnerability by nesting array keys sixty-two levels deep. This depth is the exact trigger that crashes the server. It sends small, crafted requests to see if the application returns a specific fatal error or a blank error page. The tool distinguishes real crashes from normal server rejections to avoid false alarms. It lets you scan single hosts or large lists using multiple threads. It supports different PHP server modes and custom paths. If the server exhausts memory, it flags the host. The goal is high-fidelity detection without crashing the target. This helps teams patch before attackers do.
π @hackernewsgithubprojects